Evidence map›Paper›PMID 35578009›Full record

SynthesisPharmacoEconomics2022

Disease-Related Costs Published in The Middle East and North Africa Region: Systematic Review and Analysis of Transferability.

Zsombor Zrubka, Márta Péntek, Lea Mhanna, Teebah Abu-Zahra, Mohamed Mahdi-Abid, Meriem Fgaier, Faris El-Dahiyat, Hana Al-Abdulkarim, Michael Drummond, László Gulácsi

Abstract readSystematic Review
In one paragraph

Synthesis in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Zsombor ZrubkaHealth Economics Research Center, University Research and Innovation Center, Óbuda University Budapest, Óbudai Egyetem, Bécsi út 96, Budapest, 1034, Hungary. zrubka.zsombor@uni-obuda.hu.ORCID 0000-0002-1992-6087
Márta PéntekHealth Economics Research Center, University Research and Innovation Center, Óbuda University Budapest, Óbudai Egyetem, Bécsi út 96, Budapest, 1034, Hungary.
Lea MhannaDoctoral School of Applied Informatics and Applied Mathematics, Óbuda University, Budapest, Hungary.
Teebah Abu-ZahraHealth Policy and Financing Masters Course, Corvinus University of Budapest, Budapest, Hungary.
Mohamed Mahdi-AbidResearch Center of Epidemiology and Statistics, Paris University, Paris, France.
Meriem FgaierDoctoral School of Applied Informatics and Applied Mathematics, Óbuda University, Budapest, Hungary.
Faris El-DahiyatCollege of Pharmacy, Al Ain University, Al Ain, United Arab Emirates.
Hana Al-AbdulkarimDoctoral School of Applied Informatics and Applied Mathematics, Óbuda University, Budapest, Hungary.
Michael DrummondCentre for Health Economics, University of York, York, UK.
László GulácsiHealth Economics Research Center, University Research and Innovation Center, Óbuda University Budapest, Óbudai Egyetem, Bécsi út 96, Budapest, 1034, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the Middle East and North Africa (MENA) the scarcity of local cost data is a key barrier to conducting health economic evaluations. We systematically reviewed reports of disease-related costs from MENA and analysed their transferability within the region.

methodsWe searched PubMed and included full text English papers that reported disease-related costs from the local populations of Algeria, Bahrain, Egypt, Iraq, Jordan, Saudi Arabia, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Syria, Tunisia, United Arab Emirates and Yemen between 1995 and 2019. Screening, study selection and data extraction were done in duplicate. Study-related variables, costing methods, all costs and their characteristics were extracted and analysed via descriptive methods. From multi-country studies of MENA employing homogenous costing methods, we estimated the ratio (cost transfer coefficient) between the relative differences in direct medical costs and macroeconomic indicators via robust regression. We predicted each cost via the estimated cost transfer formula and evaluated prediction error between true and predicted (transferred) costs.

resultsThe search yielded 1646 records, 206 full text papers and 3525 costs from 84 diagnoses. Transferability was analysed involving 144 direct medical costs from eight multi-country studies. Adjusting the average of available foreign costs by 0.28 times the relative difference in GDP per capita provided the most accurate estimates. The correlation between true and predicted costs was 0.96; 68% of predicted costs fell in the true ± 50% range. Predictions were more accurate for costs from studies that involved the largest number of countries, for countries outside the Gulf region and for drug costs versus unit or disease costs.

conclusionThe estimated cost transfer formula allows the prediction of missing costs in MENA if only GDP per capita is available for adjustment to the local setting. Input costs for the formula should be collected from multiple sources and match the decision situation.

Indexed as

Cost of IllnessPublicationsAfrica, NorthernData CollectionHumansMiddle East

Identifiers

PMID35578009
PMCPMC9130178

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.